Chanannait Paisansathan

50 total papers · 731 total citations
32 papers, 574 citations indexed

About

Chanannait Paisansathan is a scholar working on Neurology, Molecular Biology and Physiology. According to data from OpenAlex, Chanannait Paisansathan has authored 32 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 10 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Chanannait Paisansathan's work include Traumatic Brain Injury and Neurovascular Disturbances (9 papers), Intracranial Aneurysms: Treatment and Complications (7 papers) and Anesthesia and Sedative Agents (5 papers). Chanannait Paisansathan is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (9 papers), Intracranial Aneurysms: Treatment and Complications (7 papers) and Anesthesia and Sedative Agents (5 papers). Chanannait Paisansathan collaborates with scholars based in United States, Denmark and China. Chanannait Paisansathan's co-authors include Dale A. Pelligrino, Francesco Vetri, Hao‐Liang Xu, Fernando D. Testai, William E. Hoffman, Shuhua Ye, Verna L. Baughman, Sergei M. Danilov, Richard D. Minshall and Irina V. Balyasnikova and has published in prestigious journals such as Circulation, Brain Research and The FASEB Journal.

In The Last Decade

Chanannait Paisansathan

32 papers receiving 564 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chanannait Paisansathan	169	169	117	94	88	32	574
C. A. Maurage	178 1.1×	175 1.0×	142 1.2×	62 0.7×	143 1.6×	22	665
Junji Egawa	267 1.6×	196 1.2×	68 0.6×	42 0.4×	86 1.0×	24	618
Xinning Mi	111 0.7×	196 1.2×	135 1.2×	41 0.4×	78 0.9×	28	568
Masakazu Kotoda	187 1.1×	89 0.5×	163 1.4×	38 0.4×	116 1.3×	33	580
Liang Xu	130 0.8×	223 1.3×	90 0.8×	63 0.7×	43 0.5×	37	641
Zhenying Han	256 1.5×	181 1.1×	241 2.1×	46 0.5×	44 0.5×	22	693
Nilda Turgut	85 0.5×	159 0.9×	76 0.6×	103 1.1×	101 1.1×	34	649
Robert Patejdl	84 0.5×	181 1.1×	63 0.5×	50 0.5×	64 0.7×	45	636
He‐fan He	139 0.8×	70 0.4×	81 0.7×	76 0.8×	57 0.6×	46	675
Wugang Hou	120 0.7×	101 0.6×	40 0.3×	104 1.1×	72 0.8×	21	540

Countries citing papers authored by Chanannait Paisansathan

Since Specialization

Citations

This map shows the geographic impact of Chanannait Paisansathan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chanannait Paisansathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chanannait Paisansathan more than expected).

Fields of papers citing papers by Chanannait Paisansathan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chanannait Paisansathan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chanannait Paisansathan. The network helps show where Chanannait Paisansathan may publish in the future.

Co-authorship network of co-authors of Chanannait Paisansathan

This figure shows the co-authorship network connecting the top 25 collaborators of Chanannait Paisansathan. A scholar is included among the top collaborators of Chanannait Paisansathan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chanannait Paisansathan. Chanannait Paisansathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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